Emission constrained unit commitment of Kuwait power generation system using genetic algorithm

Emission Constrained Unit Commitment (ECUC) is an extension of the conventional Unit Commitment (UC) problem that takes into consideration the minimization of the amount of greenhouse gases emitted from generating units in power plants. This paper presents a Genetic Algorithm (GA) solution of ECUC for thermal power plants in Kuwait. GA is an efficient optimization technique based on the principle of biological evolution. This complicated nonlinear ECUC problem is solved in two stages; the first stage uses GA to perform the Economic Dispatch (ED) taken into account all system constraints, while the second stage uses also GA to decide the ON/OFF status of the generating units. The simulation results indicated the efficient convergent of the GA to the final optimal solution of the ECUC in Kuwait generation system.

[1]  Amgad Elgowainy,et al.  Updated greenhouse gas and criteria air pollutant emission factors and their probability distribution functions for electricity generating units , 2012 .

[2]  Robert E. Smith,et al.  A genetic algorithm based approach to thermal unit commitment of electric power systems , 1995 .

[3]  N.P. Padhy,et al.  Unit commitment-a bibliographical survey , 2004, IEEE Transactions on Power Systems.

[4]  J. T. Wood,et al.  Potential impacts of clean air regulations on system operations , 1995 .

[5]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[6]  Malcolm Irving,et al.  A genetic algorithm for generator scheduling in power systems , 1996 .

[7]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[8]  V. Quintana,et al.  An interior-point/cutting-plane method to solve unit commitment problems , 1999 .

[9]  K. Manivannan,et al.  Neural Based Tabu Search method for solving unit commitment problem , 2002 .

[10]  Walter L. Snyder,et al.  Dynamic Programming Approach to Unit Commitment , 1987, IEEE Transactions on Power Systems.

[11]  F. N. Lee,et al.  Multi-area unit commitment , 1992 .

[12]  V. Quintana,et al.  An interior-point/cutting-plane method to solve unit commitment problems , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[13]  Narayana Prasad Padhy,et al.  Discussion of "Optimal power flow by enhanced genetic algorithm" , 2003 .

[14]  T.O. Ting,et al.  A novel approach for unit commitment problem via an effective hybrid particle swarm optimization , 2006, IEEE Transactions on Power Systems.

[15]  N. Chakraborty,et al.  Differential evolution based environmentally constrained economic dispatch , 2008, 2008 Annual IEEE India Conference.

[16]  K. S. Swarp,et al.  Unit Connuitment Solution Methodology Using Genetic Algorithm , 2002, IEEE Power Engineering Review.

[17]  R.-H. Liang,et al.  Thermal generating unit commitment using an extended mean field annealing neural network , 2000 .

[18]  I. A. Farhat,et al.  Interior point methods application in optimum operational scheduling of electric power systems , 2009 .

[19]  D. P. Kothari,et al.  Combined Economic and Emission Dispatch Using Improved Backpropagation Neural Network , 2000 .

[20]  G. Sheblé,et al.  Power generation operation and control — 2nd edition , 1996 .

[21]  Francisco D. Galiana,et al.  Towards a more rigorous and practical unit commitment by Lagrangian relaxation , 1988 .

[22]  H. Mori,et al.  Embedding the priority list into tabu search for unit commitment , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[23]  S. Virmani,et al.  Implementation of a Lagrangian Relaxation Based Unit Commitment Problem , 1989, IEEE Power Engineering Review.

[24]  P. G. Lowery,et al.  Generating Unit Commitment by Dynamic Programming , 1966 .

[25]  Hiroshi Sasaki,et al.  A solution method of unit commitment by artificial neural networks , 1992 .

[26]  Gerald B. Sheblé,et al.  Genetic-based unit commitment algorithm , 1996 .

[27]  Thomas F. Coleman,et al.  Optimization Toolbox User's Guide , 1998 .